Triple
T542113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multnomah Falls |
E12652
|
entity |
| Predicate | averageFlowRate |
P5503
|
FINISHED |
| Object | 150 cubic feet per second |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 150 cubic feet per second | Statement: [Multnomah Falls, averageFlowRate, 150 cubic feet per second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageFlowRate Context triple: [Multnomah Falls, averageFlowRate, 150 cubic feet per second]
-
A.
waterFlowRate
chosen
Indicates the rate at which water moves or is transported through a given point or system over time.
-
B.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
C.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
D.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in a given context.
-
E.
hasLowestFlowMonths
Indicates that the related months are those during which the flow (e.g., of water, traffic, or another quantity) reaches its minimum levels for the given entity or period.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.